Name
Title | ||
|---|---|---|
Automated scenario generation: toward tailored and optimized military training in virtual environments |
Abstract | ||
|---|---|---|
Scenario-based training exemplifies the learning-by-doing approach to human performance improvement. In this paper, we enumerate the advantages of incorporating automated scenario generation technologies into the traditional scenario development pipeline. An automated scenario generator is a system that creates training scenarios from scratch, augmenting human authoring to rapidly develop new scenarios, providing a richer diversity of tailored training opportunities, and delivering training scenarios on demand. We introduce a combinatorial optimization approach to scenario generation to deliver the requisite diversity and quality of scenarios while tailoring the scenarios to a particular learner's needs and abilities. We propose a set of evaluation metrics appropriate to scenario generation technologies and present preliminary evidence for the suitability of our approach compared to other scenario generation approaches. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2282338.2282371 | FDG |
Keywords | Field | DocType |
scenario generation approach,scenario generation technology,tailored training opportunity,automated scenario generation,training scenario,virtual environment,traditional scenario development pipeline,scenario-based training,new scenario,automated scenario generation technology,scenario generation,optimized military training,automated scenario generator,virtual reality,combinatorial optimization,human performance,optimization | Virtual reality,On demand,Computer science,Simulation,Combinatorial optimization,Scenario,Combinatorial analysis,Human performance technology | Conference |
Citations | PageRank | References |
9 | 0.55 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Zook | 1 | 117 | 10.45 |
| Stephen Lee-Urban | 2 | 182 | 12.40 |
| Mark Riedl | 3 | 1254 | 127.14 |
| Heather K. Holden | 4 | 22 | 3.18 |
| Robert A. Sottilare | 5 | 51 | 12.64 |
| Keith W. Brawner | 6 | 45 | 7.84 |